A Bayesian forecasting approach to constructing regional input output based employment multipliers
Bibliographic Data
| ID | 12401484 |
|---|---|
| Authors | Dan S Rickman (0000-0003-1233-7420, Oklahoma State University, corresponding author) |
| Year | 2002 |
| Volume | 81 |
| Issue | 4 |
| Pages | 483-498 |
| Publication date | 2002-10-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Papers of the Regional Science Association (JOURNAL) |
| Journal identifiers | ISSN: 1056-8190 • E-ISSN: 1435-5957 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1111/j.1435-5597.2002.tb01245.x |
| OpenAlex | W2091907789 |
| Language | EN |
| Citations received | 5 |
| References cited | 9 |
Bayesian probability · Econometrics · Economics · Estimation · Scrutiny · Set (abstract data type · Statistics · Computer Science · Fiscal Policy and Economic Growth · Italy: Economic History and Contemporary Issues · Mathematics · Monetary Policy and Economic Impact
Tracking invisible residents
The performance of non‐survey techniques for constructing sub‐territorial input‐output tables
Exports and Local Labor Markets in the Greater Los Angeles Region
Computable General Equilibrium (CGE) Modelling for Regional Economic Development Analysis
Spatial and sectoral linkages in regional models
Regression and time series model selection in small samples
Spurious regressions in econometrics
Inference in Linear Time Series Models with some Unit Roots
Distribution of the Estimators for Autoregressive Time Series with a Unit Root
Generalizing the Bayesian Vector Autoregression Approach for Regional Interindustry Employment Forecasting
Using Bayesian Techniques for Data Pooling in Regional Payroll Forecasting
Forecasting With Bayesian Vector Autoregressions—Five Years of Experience
Expenditure Lags in Impact Analysis
The Interindustry Employment Demand Variable
| Unique citing works | 5 |
|---|---|
| Citations per year | 0,26 |
| Citation span | 2007 - 2017 (11) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 5 |